@phdthesis{Landersdorfer2006,
  author    = {Landersdorfer, Cornelia},
  title     = {Modern pharmacokinetic-pharmacodynamic techniques to study physiological mechanisms of pharmacokinetic drug-drug interactions and disposition of antibiotics and to assess clinical relevance},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-19340},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2006},
  abstract  = {There are numerous areas of application for which PKPD models are a valuable tool. We studied dose linearity, bone penetration and drug-drug interactions of antibiotics by PKPD modeling. Knowledge about possible saturation of elimination pathways at therapeutic concentrations is important for studying the probability of successful treatment of dosage regimens via MCS at various doses, other modes of administration, or both. We studied the dose linearity of flucloxacillin and piperacillin. For data analysis of the dose linearity studies, population PK modeling and MCS was used. Population PK has been reported to detect saturable elimination at lower doses, and to estimate BSV more precisely than the STS approach. The variability in PK and the expected variability in PD are combined in a MCS to predict the probability of successful treatment. Flucloxacillin showed no saturation of elimination at the studied doses of 500 mg and 1000 mg. Comparison of various dosage regimens showed, that only one third of the daily dose is needed with prolonged or continuous infusion to achieve the same probability of successful treatment as short-term infusions at the full dose. For serious infections with sensitive staphylococci that are treated with intravenous flucloxacillin, prolonged infusion and continuous infusion are an appealing treatment option. Contrary to flucloxacillin, renal elimination and to a lesser extent also nonrenal elimination of piperacillin were saturable at therapeutic concentrations. Renal clearance decreased by 24\% (p = 0.02) after a dose of 3000 mg piperacillin compared to the 1500 mg dose. A model without saturable elimination predicted PTA expectation values that were 6 to 11\% lower for high dose short-term infusions and 2 to 5\% higher for low dose continuous infusions, compared to models with saturable elimination. These differences depend on the MIC distributions of the local hospital. However, more accurate estimates for the PTA expectation value can be obtained by including an existent saturable elimination pathway into the PK model. Developing a mechanistic model of an interaction allows one to predict the extent of the interaction for other doses of drug and inhibitor. We studied the interactions between gemifloxacin and probenecid, between ciprofloxacin, its metabolite M1 and probenecid, and between flucloxacillin and piperacillin. Mechanistic models for drug-drug interactions were developed by the STS approach. This approach directly accounts for the concentration dependence of an interaction and describes the full time course of an interaction. Probenecid significantly inhibited the renal elimination of gemifloxacin, ciprofloxacin and ciprofloxacin's metabolite M1, and slightly decreased nonrenal clearance of gemifloxacin. Piperacillin significantly decreased renal and nonrenal clearance of flucloxacillin, but hardly vice versa. For all three interactions competitive inhibition of a capacity-limited renal elimination pathway was identified as the most likely mechanism. As those drugs are all actively secreted in the renal tubules, competitive interaction is physiologically reasonable. Probenecid had a lower affinity to the renal transporter than gemifloxacin, ciprofloxacin and M1. Due to its substantially higher concentrations, probenecid inhibited the elimination of the quinolones. The affinity of piperacillin for the renal transporter was 13 times higher compared to flucloxacillin. Piperacillin PK was only slightly affected by flucloxacillin. PK interactions with piperacillin are likely to occur also with other betalactam combinations. PK interactions may be useful to improve the PD profile of an antibiotic, however possibly increased risks for side effects (e.g. risk of rash for gemifloxacin and probenecid) have to be considered.},
  subject      = {Populationskinetik},
  language  = {en}
}
@phdthesis{Bulitta2006,
  author    = {Bulitta, J{\"u}rgen},
  title     = {Innovative techniques for selecting the dose of antibiotics in empiric therapy - focus on beta-lactams and cystic fibrosis patients},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-19353},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2006},
  abstract  = {Background: Population pharmacokinetic-pharmacodynamic (PKPD) modeling and simulations were applied to identify optimal dosage regimens for antibiotics. As the emergence of bacterial resistance is increasing and as only a few new antibiotics became available during the last decade, optimal use of established agents and preserving their effectiveness seems vital. Objectives: 1) To find the descriptor of body size and body composition which allows to achieve target concentrations and target effects in patients with cystic fibrosis (CF) most precisely. 2) To identify the mode of administration with the highest probability of successful treatment for intravenous beta-lactams. 3) To develop formulas for optimal dose selection for patients of various body size. General methods: Drug analysis in plasma and urine was performed by HPLC or LC-MS/MS in a single laboratory, at the IBMP. Drug analysis was not done by the author of this thesis. We used non-compartmental analysis and parametric population PK analysis for all studies. We used non-parametric bootstrapping to assess the uncertainty of PK parameters for our meta-analysis of the PK in CF-patients and healthy volunteers. Plasma concentration time profiles for several thousand virtual subjects were simulated by MCS which account for average PK parameters, their between subject variability (BSV), and patient specific demographic data. Convincing literature data show that the duration of non-protein bound concentration above MIC (fT>MIC) best predicts the microbiological and clinical success of beta-lactams and the area under the non-protein bound concentration curve divided by the MIC (fAUC/MIC) best predicts success for quinolones. We used PKPD targets from literature that were based on the fT>MIC or fAUC/MIC, respectively. Achieving a PKPD target was used as a surrogate measure for successful treatment. In our MCS, we calculated the fT>MIC or fAUC/MIC for all simulated concentration profiles and compared it to the value of the PKPD target. The fraction of subjects who achieved the target at the respective MIC approximates the probability of target attainment (PTA). The PTA can be interpreted as probability of successful treatment under certain assumptions. Studies in CF-patients Methods: We had data from ten studies (seven beta-lactams and three quinolones) in CF-patients which all included a healthy volunteer control group. Clinical procedures were very similar for all ten studies. Both subject groups had study conditions as similar as possible. We had data on 90 CF-patients (average +/- SD, age: 21+/-3.6 yrs) and on 111 healthy volunteers (age: 25+/-3.5 yrs). We compared the average clearance and volume of distribution between CF-patients and healthy volunteers for various body size descriptors including total body weight (WT), fat-free mass (FFM), and predicted normal weight (PNWT). We considered linear and allometric scaling of PK parameters by body size and used a meta-analysis based on population PK parameters for the comparison of CF-patients and healthy volunteers. Target concentrations can be achieved more precisely, if a size descriptor reduces the random, unexplained BSV. Therefore, we studied the reduction of unexplained BSV for each size descriptor relative to linear scaling by WT, since doses for CF-patients are commonly selected as mg/kg WT. Results: Without accounting for body size, average total clearance was 15\% lower (p=0.005) and volume of distribution at steady-state was 17\% lower (p=0.001) in CF-patients compared to healthy volunteers. For linear scaling by WT, average total clearance in CF-patients divided by total clearance in healthy volunteers was 1.15 (p=0.013). This ratio was 1.06 (p=0.191) for volume of distribution. A ratio of 1.0 indicates that CF-patients and healthy volunteers of the same body size have identical average clearances or volumes of distribution. For allometric scaling by FFM or PNWT, the ratio of total clearance and volume of distribution between CF-patients and healthy volunteers was within 0.80 and 1.25 for almost all drugs and the average ratio was close to 1. Allometric scaling by FFM or PNWT reduced the unexplained BSV in renal clearance by 24 to 27\% (median of 10 drugs) relative to linear scaling by WT. The unexplained BSV was reduced for seven or eight of the ten drugs by more than 15\% and the remaining two or three drugs had essentially unchanged (+/-15\%) unexplained BSVs in renal clearance. Conclusions: The PK in CF-patients was comparable to the PK in healthy volunteers after accounting for body size and body composition by allometric scaling with FFM or PNWT. Target concentrations and target effects in CF-patients can be achieved most precisely by dose selection based on an allometric size model with FFM or PNWT. Future studies are warranted to study the clinical superiority of allometric dosing by FFM or PNWT compared to dose selection as mg/kg WT in CF-patients.},
  subject      = {Populationskinetik},
  language  = {en}
}
@phdthesis{Baumann2011,
  author    = {Baumann, Daniel},
  title     = {Charakterisierung der Pharmakokinetik und Pharmakodynamik intranasaler Glucocorticoide anhand von in vitro und ex vivo Modellen},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-57230},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Ziel dieser Arbeit war es die intranasalen pharmakokinetischen Abl{\"a}ufe nach topischer Applikation mittels in vitro und ex vivo Experimenten zu charakterisieren und ihre Auswirkungen auf die Pharmakodynamik zu beschreiben. Es wurden hierbei die nasal angewendeten Glucocorticoide Triamcinolonacetonid (TCA), Budesonid (Bud), Beclomethasondipropionat (BDP), Fluticasonpropionat (FP), Mometasonfuroat (MF) und Fluticasonfuroat (FF) sowie ihre handels{\"u}blichen Pr{\"a}parate Nasacort® (TCA), Budes® (Bud), ratioAllerg® (BDP), Flutide® Nasal (FP), Nasonex® (MF) und Avamys® (FF) untersucht. Zum Aufbringen der Wirkstoffsuspension auf die nasale Mukosa durch den Patienten kommen Dosierpumpsprays zum Einsatz, deren Dosiervorrichtung das Applikationsvolumen festlegen. Die Bestimmung des Spr{\"u}hstoßvolumens unterschiedlicher handels{\"u}blicher Pr{\"a}parate ergab Werte zwischen 56 und 147 µL/Spr{\"u}hstoß. Zum ersten Mal wurde eine Methode entwickelt, die es erm{\"o}glichte die Glucocorticoidkonzentration in den w{\"a}ssrigen {\"U}berst{\"a}nden handels{\"u}blicher Pr{\"a}parate zu bestimmen. Die Wasserl{\"o}slichkeit der unterschiedlichen Glucocorticoide sowie die galenische Zusammensetzung der Formulierungen konnten als m{\"o}gliche Einflussfaktoren f{\"u}r den bereits gel{\"o}sten Wirkstoffanteil ermittelt werden. Es konnte erstmals gezeigt werden, dass die L{\"o}slichkeit der Wirkstoffkristalle der lipophileren Substanzen wie BDP, FP, MF und FF durch das KNS signifikant verbessert wurde. Die L{\"o}slichkeit der hydrophileren Wirkstoffe wie TCA und Bud wurde durch das KNS dagegen nur leicht beeinflusst. Nach der Aufl{\"o}sung der Wirkstoffkristalle k{\"o}nnen die gel{\"o}sten Molek{\"u}le zur cytoplasmatischen Zielstruktur, dem Glucocorticoidrezeptor diffundieren und spezifisch binden. Neben der Rezeptorbindung erfolgt auch eine unspezifische Bindung an Nasengewebe. So wurde zun{\"a}chst mit einem einfachen, bereits etablierten Versuchsaufbau erstmalig die Bindung von FF an Nasengewebe im Vergleich zu anderen Glucocorticoiden in vitro untersucht. Die lipophileren Substanzen wie FF, MF und FP grenzten sich hierbei durch eine h{\"o}here Gewebebindung von den hydrophileren TCA und Bud ab. Es wurde ein neues Modell entwickelt, welches die pharmakokinetische Untersuchung zur Gewebebindung mit der Pharmakodynamik der Wirkstoffe in Form ihres antiinflammatorischen Effektes im Zellkulturmodell verkn{\"u}pfen sollte. So wurde wirkstoffges{\"a}ttigtes Gewebe einer extensiven Auswaschphase in Humanplasma ausgesetzt, um es anschließend mit humanen Lungenepithelzellen zu inkubieren. Es konnte gezeigt werden, dass alle Gewebeproben den Wirkstoff in das Zellkulturmedium freisetzten, was eine Hemmung der IL-8 Sekretion aus Lungenepithelzellen zur Folge hatte. Die St{\"a}rke des antiinflammatorischen Effektes der IL-8 Hemmung durch FF, FP, Bud und TCA entsprach der Kombination aus Geweberetention und intrinsischer Aktivit{\"a}t (Rezeptoraffinit{\"a}t) der Wirkstoffe. Gewebeproben des MF f{\"u}hrten zur geringsten IL-8 Hemmung, was durch die chemische Instabilit{\"a}t der Substanz erkl{\"a}rt werden konnte. Um eine weitere Ann{\"a}herung an physiologische Verh{\"a}ltnisse zu erreichen, wurde erfolgreich ein Modell entwickelt, welches nach Applikation der Suspension auf die Mukosa die pharmakokinetischen Abl{\"a}ufe simulieren sollte. Daf{\"u}r entscheidend war die Einbettung respiratorischen Gewebes in eine Gel-Matrix, wodurch eine zusammenh{\"a}ngende Mukosa-{\"a}hnliche Oberfl{\"a}che erreicht werden konnte. Als Modellsubstanzen wurden Bud aus Budes®-Nasenspray und FP aus Flutide® Nasal sowie als Vertreter der Antihistaminika Azelastin-HCl (AZ-HCl) aus Vividrin® akut eingesetzt. Es konnte gezeigt werden, dass die Gewebebindung des AZ-HCl im Vergleich zu den Glucocorticoiden am h{\"o}chsten war. Die gute Korrelation der Gewebebindung der Substanzen mit ihrem Verteilungsvolumen und der Vergleich von FP mit Bud zeigte die erfolgreiche Etablierung des Modells. Beide Glucocorticoide zeigten nach Applikation der Wirkstoffsuspension zun{\"a}chst eine {\"a}hnliche Assoziation an das Gewebe. Bei der Inkubation der Gewebe-Gel-Matrix mit Humanplasma wurde schließlich Fluticasonpropionat aus der Gewebe-Gel-Bindung im Vergleich zu Budesonid langsam freigesetzt. Weiterhin wurde im Gewebe-Gel-Modell die Bedeutung der Pharmakokinetik der Wirkstoffe auf die Pharmakodynamik ermittelt. Es wurden Freisetzungsproben der Gewebe-Gel-Matrices von AZ-HCl und FP auf ihre antiinflammatorische Aktivit{\"a}t untersucht. Die deutlich h{\"o}here Bindung des AZ-HCl an die Gewebe-Gel-Matrix {\"a}ußerte sich auch in h{\"o}heren Plasmakonzentrationen bei der Freisetzung im Vergleich zu FP. Jedoch konnte im Zellkulturmodell gezeigt werden, dass die Hemmung der IL-8 Freisetzung des FP, trotz der geringeren Konzentration in der Freisetzungsmatrix, das antiinflammatorische Potential des AZ-HCl {\"u}bertraf.},
  subject      = {Pharmakokinetik},
  language  = {de}
}